Name
Abstract | ||
|---|---|---|
In this article, a video based fire detection framework for CCTV surveillancesystems is presented. Two novel features and a novel image type with their corresponding algorithmsareproposed for this purpose. One is for the slow-smoke detection and another one is for fast-smoke/flame detection. The basic idea is slow-smoke has a highly varying chrominance/luminance texture in long periods and fast-smoke/flame has a highly varying texture waiting at the same location for long consecutive periods. Experiments with a large number of smoke/flame and non-smoke/flame video sequences outputs promising results in terms of algorithmic accuracy and speed. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3837/tiis.2016.12.019 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Fast smoke and flame detection,patch-wise framework,periodical analysis ofsmoke and flame features,chrominance/luminance variation,fire surveillance systems | Computer graphics (images),Computer science,Smoke,Chrominance,Flame detection,Luminance,Fire detection | Journal |
Volume | Issue | ISSN |
10 | 12 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ibrahim Furkan Ince | 1 | 13 | 4.13 |
| Mustafa Eren Yildirim | 2 | 5 | 1.53 |
| Yucel Batu Salman | 3 | 19 | 3.85 |
| O. Faruk Ince | 4 | 0 | 0.34 |
| Geun-Hoo Lee | 5 | 0 | 0.34 |
| Jang Sik Park | 6 | 11 | 7.81 |